People Overload!
Understanding Population Density in certain Countries
import logging
import warnings
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import plotly.express as px
import plotly.io as pio
from IPython.display import HTML
from dask import dataframe as dd
from dask.distributed import Client
from tqdm import tqdm
pio.renderers.default='notebook'
warnings.filterwarnings('ignore', category=FutureWarning)
warnings.filterwarnings('ignore', category=RuntimeWarning)
warnings.filterwarnings('ignore', category=UserWarning)
warnings.simplefilter("ignore")
HTML('''
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%%javascript
require.config({
paths: {
plotly: 'https://cdn.plot.ly/plotly-latest.min'
},
})
The World’s Population is growing every second at the same time the clock is ticking. As of November 2020, the world’s population is estimated to be around 7.8 Billion. With each second having a new birth, there is always a possibility of overpopulation in a lot of areas in the world. For a country, it is very crucial to determine the statistics behind its population.
Population density is the measurement of population per unit area. It simply refers to the number of people living in an area like our example of a household. This Research will be tackling on the different population density values around 3 Countries which are Philippines, Japan, and South Korea.
The research paper will be comparing the population density values for these countries by visualizing them in the population density map. Different density maps differentiating different demography per country will also be shown.
Using the results, the research paper was able to conclude significant insights. It was observed that for Japan and Korea, there is a large discrepancy of women population density versus men population density. The research paper was able to show also that Philippines outweighs Japan and Korea in terms of bulk population density.
As of November 2020, the world’s population is estimated to be around 7.8 Billion. With each second having a new birth, there is always a possibility of overpopulation in a lot of areas in the world. Based on the worldometers info [1], the top country having the highest population is China with a population of almost 1.4 Billion, which is almost 18% of the world's population. It can be noted also that, Philippines is within the top 20 largest countries and is placed in the 13th place, having an estimated 110 Million for its current population. It is also interesting that Japan, a country which has a smaller area than the Philippines, is in the 11th Place having 126 Million for its population[1].
For a country, it is very crucial to determine the statistics behind its population. One of the most important factors in considering the economic life of a country is checking the country’s growth in terms of population. One thing to note is that, when there are a lot of people in certain area, all other resources will either in decrease or in increase. If there would be a large number of people living in certain household, chances are that the utilities like water, food, electricity, and internet usage would be much higher than a smaller number of people. In the case of Tokyo, Japan, rent is notoriously high due to the population density of the city. At the same time, the available resources for such utilities would decrease which is the law of supply and demand. On the other hand, having population density concentrated in certain areas leaves nature untouched by people in others, maintaining monther nature's beauty for us to appreciate, which is the case in many areas of our country, the Philippines. This could also aid in a country's economy by attracting travelers by developing the tourism industry. Therefore, countries are very keen on checking the population growth rate in different areas within their jurisdiction.
One way of checking the effect of population is checking the population density. Population density is the measurement of population per unit area. It simply refers to the number of people living in an area like our example of a household. In checking the population density, there are certain factors to consider. A lot of countries check if their population density is too high, which might lead to overconsumption of resources and diminishing supply. Countries can also check if their population density in some areas is too low, indicating lagging development in sparse areas. Indeed, population density has a role in economic development and perhaps further studies can be studied in this aspect[2].
The High Resolution Population Density from Open Data in AWS's Open Data Registry is a set of population density data for a selection of countries from Facebook Connectivity Lab and Center for International Earth Science Information Network – CIESIN – Columbia University. This dataset estimates the number of people living within 30-meter grid tiles, and will be used to answer the question How is the population density of certain demographics distributed in Japan, South Korea and the Philippines?
Population Control: This research observes the growth of population and population density in the given countries.
Economic Overview: This research can be used to analyze the economic effect of population density in the given countries.
Budget Allocation: For the Philippines, this research can help prescribe government spending and resource allocation where it can have the most impact or where it is needed most.
To properly address the problem, the researchers will use a portion of the Facebook - CIESIN dataset. Data from select countries such as Japan, South Korea, and the Philippines will be used. Some information such as the country and demographic are in the file name so columns will be added during processing. The researchers will follow the general workflow defined below to arrive at a conclusion and recommendations.
Figure 1: A general work flow of the study
Each step will be discussed in detail in the following sections. To give a general overview of the methodology, a brief description for each step is described below:
The filepath for the dataset are as follows:
aws s3 ls s3://dataforgood-fb-data/ --no-sign-request
Documentation Link:
https://dataforgood.fb.com/docs/
Please note that there are more files that can be used for the project under the chosen dataset but to minimize the scope of the research, only files for select countries will be used. The file sizes were checked by downloading and decompressing them locally, arriving at a total of about 11GB.
The gathered data will be cleaned and formatted as required, prior to the analysis. The steps involved are:
a. Decompressing gzip files
b. Data Cleaning (Using Dask)
c. Data Transformation (Using Dask)
d. Merging of Different Files (Using Dask)
For this dataset in particular, no cleaning and no transformation was required. Multiple files were merged to arrive at the final complete dataset.
The processed data will be analyzed using some basic statistical measures to give a brief overviwe of the dataset.
A comparison of statistical measures for each demographic under each country will be provded:
a. Mean
b. Median
c. Mode
d. Minimum Value
e. Maximum Value
f. Density Plot
The data used for the study was sourced from the AWS Open Data Registry, and can be found by searching for the data titled "High Resolution Population Density Maps + Demographic Estimates by CIESIN and Facebook". It contains almost 27GB of files, many of which are CSV files that have coordinate and the population density columns. The dataset has population density data for many countries. To minimize this research, we would be only focusing on the following:
1. Philippines
2. South Korea
3. Japan
For this research, we will be focusing on Japan and South Korea and will be also comparing it to the Philippines since it has almost comparable population and location, but different land masses.
The data for Philippines, South Korea and Japan have several folders and CSV files that provide population densities for different demographics within the country. The different categories of demographics are the following:
1. Childer under Five
2. Elderly (60 Yrs Old+)
3. Men
4. Women
5. Women of Reproductive Age 15-29
6. Youth Age 15-24
7. Total Population
Statistics for each of these categories will be shown. Since these are population density data, the focus of the visualizations will be on maps. Note that the total size of the files is around 11GB of uncompressed CSV files so the task was accomplished using a Dask cluster of 3 8GB t2.large instances for workers, scheduler, and client.
Philippine Filepath
!aws s3 ls "s3://dataforgood-fb-data/csv/month=2019-06/country=PHL/" --summarize --human-readable --recursive
2020-05-21 06:03:12 24.6 MiB csv/month=2019-06/country=PHL/type=children_under_five/PHL_children_under_five.csv.gz 2020-05-21 06:03:12 24.6 MiB csv/month=2019-06/country=PHL/type=elderly_60_plus/PHL_elderly_60_plus.csv.gz 2020-05-21 06:03:12 24.7 MiB csv/month=2019-06/country=PHL/type=men/PHL_men.csv.gz 2020-05-21 06:03:16 24.7 MiB csv/month=2019-06/country=PHL/type=total_population/PHL_total_population.csv.gz 2020-05-21 06:03:16 24.7 MiB csv/month=2019-06/country=PHL/type=women/PHL_women.csv.gz 2020-05-21 06:03:16 24.7 MiB csv/month=2019-06/country=PHL/type=women_of_reproductive_age_15_49/PHL_women_of_reproductive_age_15_49.csv.gz 2020-05-21 06:03:16 24.7 MiB csv/month=2019-06/country=PHL/type=youth_15_24/PHL_youth_15_24.csv.gz Total Objects: 7 Total Size: 172.6 MiB
Japan Filepath
!aws s3 ls "s3://dataforgood-fb-data/csv/month=2019-06/country=JPN/" --summarize --human-readable --recursive
2020-05-21 05:58:48 140.4 MiB csv/month=2019-06/country=JPN/type=children_under_five/JPN_children_under_five.csv.gz 2020-05-21 05:58:48 141.0 MiB csv/month=2019-06/country=JPN/type=elderly_60_plus/JPN_elderly_60_plus.csv.gz 2020-05-21 05:58:48 141.4 MiB csv/month=2019-06/country=JPN/type=men/JPN_men.csv.gz 2020-05-21 05:59:25 141.1 MiB csv/month=2019-06/country=JPN/type=total_population/JPN_total_population.csv.gz 2020-05-21 05:59:25 141.2 MiB csv/month=2019-06/country=JPN/type=women/JPN_women.csv.gz 2020-05-21 05:59:48 140.9 MiB csv/month=2019-06/country=JPN/type=women_of_reproductive_age_15_49/JPN_women_of_reproductive_age_15_49.csv.gz 2020-05-21 05:59:49 140.5 MiB csv/month=2019-06/country=JPN/type=youth_15_24/JPN_youth_15_24.csv.gz Total Objects: 7 Total Size: 986.4 MiB
Korea Filepath
!aws s3 ls "s3://dataforgood-fb-data/csv/month=2019-06/country=KOR/" --summarize --human-readable --recursive
2020-05-21 06:00:08 41.3 MiB csv/month=2019-06/country=KOR/type=children_under_five/KOR_children_under_five.csv.gz 2020-05-21 06:00:08 41.2 MiB csv/month=2019-06/country=KOR/type=elderly_60_plus/KOR_elderly_60_plus.csv.gz 2020-05-21 06:00:08 41.7 MiB csv/month=2019-06/country=KOR/type=men/KOR_men.csv.gz 2020-05-21 06:00:22 41.5 MiB csv/month=2019-06/country=KOR/type=total_population/KOR_total_population.csv.gz 2020-05-21 06:00:22 41.7 MiB csv/month=2019-06/country=KOR/type=women/KOR_women.csv.gz 2020-05-21 06:00:22 41.3 MiB csv/month=2019-06/country=KOR/type=women_of_reproductive_age_15_49/KOR_women_of_reproductive_age_15_49.csv.gz 2020-05-21 06:00:22 41.4 MiB csv/month=2019-06/country=KOR/type=youth_15_24/KOR_youth_15_24.csv.gz Total Objects: 7 Total Size: 290.2 MiB
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" alt="Data size" />
Since the dataset can be considered big due to the total size of the files and the sheer number of rows and columns, a Dask cluster is used to perform the preprocessing. It can seen that there are several folders for each of the three countries. These folders correspond to each demographic category. To process the data, the data will be appended into one consolidated dask dataframe which will have a specific column for the demographic and the country it belongs. In this way, a single dataframe of the whole dataset will be obtained.
The data processing infrastructure is composed of a Dask Cluster created in AWS consisting of a client, a scheduler, and 3 workers. EC2 instances of type t2.large with 8GB storage was used.
The command below will connect the notebook to the existing dask cluster and also some codes to preprocess the files.
# status of dask cluster
client = Client(address='52.221.61.137:8786')
client
Client
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Cluster
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" alt="Dask cluster" />
The name of each file to be read is listed. New columns such as the country and the demographic will be added as new columns to the files. Using the dask cluster, we will create a single dataframe containig all the data.
# Read eahc source file from s3 and consolidate into a dataframe
prefix = "s3://dataforgood-fb-data/csv/month=2019-06/"
files = [
'country=JPN/type=children_under_five/JPN_children_under_five.csv.gz',
'country=JPN/type=elderly_60_plus/JPN_elderly_60_plus.csv.gz',
'country=JPN/type=men/JPN_men.csv.gz',
'country=JPN/type=total_population/JPN_total_population.csv.gz',
'country=JPN/type=women/JPN_women.csv.gz',
'country=JPN/type=women_of_reproductive_age_15_49/'
'JPN_women_of_reproductive_age_15_49.csv.gz',
'country=JPN/type=youth_15_24/JPN_youth_15_24.csv.gz',
'country=KOR/type=children_under_five/KOR_children_under_five.csv.gz',
'country=KOR/type=elderly_60_plus/KOR_elderly_60_plus.csv.gz',
'country=KOR/type=men/KOR_men.csv.gz',
'country=KOR/type=total_population/KOR_total_population.csv.gz',
'country=KOR/type=women/KOR_women.csv.gz',
'country=KOR/type=women_of_reproductive_age_15_49/'
'KOR_women_of_reproductive_age_15_49.csv.gz',
'country=KOR/type=youth_15_24/KOR_youth_15_24.csv.gz',
'country=PHL/type=children_under_five/PHL_children_under_five.csv.gz',
'country=PHL/type=elderly_60_plus/PHL_elderly_60_plus.csv.gz',
'country=PHL/type=men/PHL_men.csv.gz',
'country=PHL/type=total_population/PHL_total_population.csv.gz',
'country=PHL/type=women/PHL_women.csv.gz',
'country=PHL/type=women_of_reproductive_age_15_49/'
'PHL_women_of_reproductive_age_15_49.csv.gz',
'country=PHL/type=youth_15_24/PHL_youth_15_24.csv.gz',
]
df = dd.from_pandas(pd.DataFrame(), npartitions=len(files)*2)
with tqdm(total=len(files)) as pbar:
for filename in files:
country = filename[8:11]
demographic = str(filename[17:-7].split('/')[0])
_df = dd.read_csv(prefix + filename,
compression='gzip',
delimiter="\t")
_df['filename'] = filename
_df['country'] = country
_df['demographic'] = demographic
df = df.append(_df)
pbar.update(1)
100%|██████████| 21/21 [00:46<00:00, 2.22s/it]
The dataset contains the following columns and their descriptions.
Philippine, Japan and South Korea Population Density Dataset:
| Column Name | Description |
|---|---|
| latitude | The latitude (EPSG:4326/WGS84) coordinates of the center of the 1-arc-second-by-1-arc-second grid cell |
| longitude | The longitude (EPSG:4326/WGS84) coordinates of the center of the 1-arc-second-by-1-arc-second grid cell |
| population | The value is the (statistical) number of people in that grid of coordinates |
| country | Name of Country |
| demographic | Demography/Division of Population |
We will be puting the data on to the variable df, since we will be using this dataset uniformly throughout the research paper. Persisting will make the processing on the dataset much faster.
The First Dataframe will also exclude the total_population demographic to allow us to visualize the various demographic categories in each location.
The second DataFrame will be only including the total_population demographic to allow us to visualize the latter.
# Separate the total population frmo the other demographics
df1 = df[df['demographic'] != 'total_population']
df2 = df[df['demographic'] == 'total_population']
Given the sheer number of rows in the data, a small sample is taken to allow us to visualize and have a glimpse of the information. We will be only checking a fraction of the dataset around 0.005% since parsing all through it would take a long time
# Sample the whole data for plotting
data = df2.sample(frac=.00005).compute()
data.shape
(2232, 6)
# Plot the data into a map
fig = px.scatter_mapbox(data, lat="latitude", lon="longitude",
color="country", size="population",
color_continuous_scale=px.colors.cyclical.IceFire,
height=900, zoom=3.5,
center={'lat':26.3607036, 'lon':127.7439425},
title='Total Population Density of PH, JPN, KOR')
fig.update_mapboxes(style='carto-darkmatter')
fig.update_layout(title_font_size=25, title_font_color='blue')
fig.show()
This visualization shows all countries included in the dataset, with a sample of their respective population densities. Some areas are less populated than others while the most dense areas are usually near the capital city of each country.
A view of each country's population density distribution follows.
# Get the top 100 largest populations and sample a small fraction
dataj = (df1[df1['country']=='JPN']
.nlargest(n=100, columns='population').compute())
dataj = (dataj.append(df1[df1['country']=='JPN']
.sample(frac=.00002).compute()))
dataj.shape
(3730, 6)
# Plot the data into a map
fig = px.scatter_mapbox(dataj, lat="latitude", lon="longitude",
color="demographic", size='population',
color_continuous_scale='balance', height=600, zoom=5,
title='Population Density of Japan per Demographic')
fig.update_mapboxes(style='carto-darkmatter')
fig.update_layout(title_font_size=25, title_font_color='blue')
fig.show()
In Japan, the most dense areas aside from Tokyo seem to be Osaka and Nagoya. Aside form that, there seems to be an outlier in the city of Matsue where there seems to be a dense conventration of women. The population distribution covers the whole country except in some mountainous regions. The most dense areas concentrate around where the shinkansen passes.
# Get the top 100 largest populations and sample a small fraction
datak = (df1[df1['country']=='KOR']
.nlargest(n=100, columns='population').compute())
datak = (datak.append(df1[df1['country']=='KOR']
.sample(frac=.00006).compute()))
datak.shape
(3292, 6)
# Plot the data into a map
fig = px.scatter_mapbox(datak, lat="latitude", lon="longitude",
color="demographic", size='population',
color_continuous_scale='balance', height=600, zoom=6,
title='Population Density of Korea per Demographic')
fig.update_mapboxes(style='carto-darkmatter')
fig.update_layout(title_font_size=25, title_font_color='blue')
fig.show()
In South Korea, the most dense area aside from Seoul is Busan. Aside form that, there are also a concentration popuation in Daegu and Gwangju. The population distribution covers the whole country except for the northeast region, which is also a mountainous region. Interestingly, the Korail also connects the most populated areas in South Korea.
# Get the top 100 largest populations and sample a small fraction
datap = (df1[df1['country']=='PHL']
.nlargest(n=100, columns='population').compute())
datap = (datap.append(df1[df1['country']=='PHL']
.sample(frac=.0001, random_state=2).compute()))
datap.shape
(3418, 6)
# Plot the data into a map
title = 'Population Density of Philippines per Demographic'
fig = px.scatter_mapbox(datap, lat="latitude", lon="longitude",
color="demographic", size='population',
color_continuous_scale='balance', height=600, zoom=4,
title=title)
fig.update_mapboxes(style='carto-darkmatter')
fig.update_layout(title_font_size=25, title_font_color='blue')
fig.show()
In the Philippines, the densely populated areas are limited to Metro Manila and Davao. An outline of the country can't be clearly seen. Most dense areas outside of Manila and Davao are composed of men, with the exception of Sulu which has a concentration of women. Compared to the previous two countries, we don't have a national railroad system. Also compared to the previous two countries, the disparity between the places where people congregate and the rest of the country is apparent, with the markers in other places almost invisible.
In the first map showing the three countries, the shape of the Philippines can be seen just from looking at the markers but now it's not visible at all. Why is that? It is because the high densities in the populated areas generate large circle markers relative to other countries. Now that we have isolated the local data, we see that there are actually only a few places generating those markers and relative to the two other countries, the population density in these areas in the Philippines is so much greater. It is also interesting to note that the variety in color is less, with the dense populations composed mostly of men.
# Get the top 100 largest populations and sample a small fraction
datap2 = (df1[df1['country']=='PHL']
.nlargest(n=100, columns='population').compute())
datap2 = (datap2.append(df1[df1['country']=='PHL']
.sample(frac=.0005, random_state=2).compute()))
datap2.shape
(16690, 6)
# Plot the data into a map
fig = px.scatter_mapbox(datap2, lat="latitude", lon="longitude",
color="demographic", size='population',
color_continuous_scale='balance', height=600, zoom=4,
title=title)
fig.update_mapboxes(style='carto-darkmatter')
fig.update_layout(title_font_size=25, title_font_color='blue')
fig.show()
After increasing the sample data by four times, even though there are more markers, the coverage is still greatly uneven. Most of them are small, almost invisible without zooming into the map. Visually, there's hardly any noticeable difference. We can conclude that most of the data shows a very low density.
With this, it could be said that the development in the Philippines is highly concentrated in a few cities, leaving the rest of the country undeveloped. Some of these undeveloped areas can take advantage of their natural resources for tourism but there might be a lack of infrastructure or facilities due to the sparse population.
# Get statistics of each demographic
df_stats = (df1.groupby(['country', 'demographic'])['population']
.aggregate(['count', 'min', 'mean', 'max','std','var'])
.reset_index().compute())
df_stats
| country | demographic | count | min | mean | max | std | var | |
|---|---|---|---|---|---|---|---|---|
| 0 | JPN | children_under_five | 30261564 | 0.000000 | 0.174421 | 4.038710 | 0.168986 | 0.028556 |
| 1 | JPN | elderly_60_plus | 30261564 | 0.000000 | 1.289658 | 34.741667 | 1.081053 | 1.168675 |
| 2 | JPN | men | 30261564 | 0.000000 | 2.036621 | 47.978942 | 1.972054 | 3.888998 |
| 3 | JPN | women | 30261564 | 0.000000 | 2.146026 | 52.085504 | 2.025971 | 4.104559 |
| 4 | JPN | women_of_reproductive_age_15_49 | 30261564 | 0.000000 | 0.889853 | 18.940183 | 0.977992 | 0.956469 |
| 5 | JPN | youth_15_24 | 30261564 | 0.000000 | 0.411720 | 8.734614 | 0.422556 | 0.178554 |
| 6 | KOR | children_under_five | 8869747 | 0.011801 | 0.267380 | 2.209373 | 0.356818 | 0.127319 |
| 7 | KOR | elderly_60_plus | 8869747 | 0.184357 | 0.878916 | 7.300992 | 1.059881 | 1.123348 |
| 8 | KOR | men | 8869747 | 0.283856 | 2.819548 | 21.825633 | 3.890083 | 15.132748 |
| 9 | KOR | women | 8869747 | 0.306868 | 2.850675 | 21.965706 | 3.988020 | 15.904301 |
| 10 | KOR | women_of_reproductive_age_15_49 | 8869747 | 0.075665 | 1.512232 | 12.716337 | 2.270492 | 5.155135 |
| 11 | KOR | youth_15_24 | 8869747 | 0.036070 | 0.767835 | 6.343643 | 1.126621 | 1.269276 |
| 12 | PHL | children_under_five | 5529054 | 0.000000 | 2.000642 | 1953.265997 | 4.057798 | 16.465729 |
| 13 | PHL | elderly_60_plus | 5529054 | 0.000000 | 1.089021 | 1061.813020 | 2.029947 | 4.120685 |
| 14 | PHL | men | 5529054 | 0.000000 | 9.040698 | 9253.291699 | 17.777583 | 316.042446 |
| 15 | PHL | women | 5529054 | 0.000000 | 8.837623 | 9528.902916 | 17.586820 | 309.296243 |
| 16 | PHL | women_of_reproductive_age_15_49 | 5529054 | 0.000000 | 4.666315 | 5319.834985 | 9.530677 | 90.833811 |
| 17 | PHL | youth_15_24 | 5529054 | 0.000000 | 3.530030 | 3382.723820 | 6.938286 | 48.139816 |
From the table above, we can derive several data analysis that will show also the comparison between each demography between each country. This will help generalize and conclude for this research. Some of the of initial findings are between the 3 Countries, Philippines has the highest maximum and standard deviation of population, especially between men and women comparing the values to South Korea and Japan. Some of major insights will be seen and discussed in the results and discussion.
# Get statistics of total population
df_stats2 = (df2.groupby(['country', 'demographic'])['population']
.aggregate(['count', 'min', 'mean', 'max','std','var'])
.reset_index().compute())
df_stats2
| country | demographic | count | min | mean | max | std | var | |
|---|---|---|---|---|---|---|---|---|
| 0 | JPN | total_population | 30261564 | 0.000000 | 4.182647 | 100.064446 | 3.995196 | 15.961589 |
| 1 | KOR | total_population | 8869747 | 0.592103 | 5.670223 | 43.386908 | 7.876328 | 62.036539 |
| 2 | PHL | total_population | 5529054 | 0.000000 | 18.008154 | 18868.843257 | 35.532781 | 1262.578546 |
From the table above, we can derive some data analysis that can compare the total population density between each country. Some initial Insights can be seen is that Philippines Value of its statistical measure greatly outweights its counterpart for the two other countries. General data analysis will be shown on the results and discussion.
To answer the problems at hand, we were able to plot the total population density of each country and visualize it perfectly. The first Plot/Graph in this paper of Japan, South Korea and Philippines can be one of the most significant findings for this research. In First graph, we can see that the total population visualization for Philippines greatly outweighs the visualization for South Korea and Japan. We can also see that for each country, there are a certain area where the population density is centered and are coupled to each other. These areas are very important to consider for each country since they can generate development and economic activity. The first graph also shows in what area are the population density the lowest. Using this visualization, they can target their projects and the government aids to those important area. From this point of view, we can already derive that the population density in the Philippines is much greater than South Korea and Japan.
JAPAN
The Japan Graph shows the different levels of population density for each demographic in our dataset. From the visualization we can derive some very important analysis. We can see initially that there is big chunk of women’s population density near Matsue. We can note also that this visualization of the women is the largest and the most visible among the visualization and this can symbolize that there are a lot of women in Japan specially on this specific area. Also, we can see that there is a part in Japan area where many of the demographics are coupled together. The most evident demographic on this part is the youth(15-24) which can be young professionals and high schoolers. They are coupled together with the mass of the men in this area. If you look geographically, that certain area is Tokyo which is the capital of Japan. It just concludes that Tokyo is where all the office workers lives and specially the schools. We can see also that the elder(60+) is very evident in the graph, specially in the lower part of japan which can mean that there are a lot of this demographic across japan.
SOUTH KOREA
The South Korea Graph shows the different levels of population density for each demography in our dataset. From the visualization we can derive some very important analysis. We can see initially that there is a demography that is very evident across South Korea Graph. This are the youth(15-24). Men, women of reproductive age. We can see in the graph that these three primary demography are always couple in with each other and looks like a dense cluster of population. This mean that city belonging to these areas are highly profitable since this are middle workers and young professionals. We can also see that comparing to the other countries, the visualization of South Korea is more evident and shows denser cluster of population density specially at the north part and south of South Korea. When looking at the map geographically, it symbolizes the major cities in South Korea, specially Incheon and Cheonan in the north area while Daegu and Busan in the south part. This means that in this city, there is a big mix of youth, men and women who are on the starting age of around 15-30 years old.
PHILIPPINE
The Philippine Graph shows the different levels of population density for each demographic in our dataset. From the visualization we can derive some very important analysis. We can see that we were able to show two graphs of the Philippines which have different fractional samples. We can generally say that there are two significant areas in the Philippines where the central population density can be seen. This is the Manila Area in Luzon and the Davao Area in Mindanao. It can be seen that the demographic for these two areas are evenly mixed between men and women since this are one of the central working area in the Philippines. Unlike Japan which there are a lot of elderly demography, Philippines does not show elderly demography as much as compared to Japan. Comparing the Philippine visualization to the South Korea Graph, Philippines has a few clusters of population density comparing to South Korea which are evenly distributed.
STATISTICAL MEASURES per Demographic
STATISTICAL MEASURES per Total Population
A dataset from Open Data Registry of AWS entitled High Density Population Maps Dataset was parsed and underwent data analysis, data preprocessing and further filtering. To answer the problem statement, exploratory data analysis was conducted and showed different visualizations of the population density for each country and demographic. Several comparisons and statistical measures where are made to distinguish the uniqueness of each demographic and how it might possibly affect the country. The results show the following conclusions: 1. Japan has large number of Elderly demographic 2. South Korea has a large number of mixed clusters of young professionals which are evenly seen on the men and women. 3. Both Japan and South Korea have a high number of women population based on the statistical measurement results. 4. Philippine population greatly outweighs the two other countries. 5. Philippines has a lot more of the men demographic than women. 6. Philippine population is more concentrated in few areas compared to Japan and South Korea. Additional recommendations are given also to further improve the research. Since the population density values are already usable in this dataset, no further extrapolation can be done other than statistical measures and visualization. It is recommended to augment this population density dataset with other information that can be seen in other dataset to provide more context or supplement each other as features or labels in machine learning models.
[1] https://www.worldometers.info/
[2] Yegorov, Yuri. (2015). Economic Role of Population Density. https://www.researchgate.net/publication/283637652_Economic_Role_of_Population_Density Accessed 29 Nov 2020.
[3] Facebook Connectivity Lab and Center for International Earth Science Information Network – CIESIN – Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. https://dataforgood.fb.com/docs/high-resolution-population-density-maps-demographic-estimates-documentation/ Accessed 29 Nov 2020.